Identification of a cognitive network with effective connectivity to post-stroke cognitive impairment

IF 3.1 3区工程技术 Q2 NEUROSCIENCES

Cognitive Neurodynamics Pub Date : 2024-08-12 DOI:10.1007/s11571-024-10139-4

Jing Zhang, Hui Tang, Lijun Zuo, Hao Liu, Chang Liu, Zixiao Li, Jing Jing, Yongjun Wang, Tao Liu

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Abstract

Altered connectivity within complex functional networks has been observed in individuals with post-stroke cognitive impairment (PSCI) and during cognitive tasks. This study aimed to identify a cognitive function network that is responsive to cognitive changes during cognitive tasks and also sensitive to PSCI. To explore the network, we analyzed resting-state fMRI data from 20 PSCI patients and task-state fMRI data from 100 unrelated healthy young adults using functional connectivity analysis. We further employed spectral dynamic causal modeling to examine the effective connectivity among the pivotal regions within the network. Our findings revealed a common cognitive network that encompassed the hub regions 231 in the Subcortical network (SC), 70, 199, 242 in the Frontoparietal network (FP), 214 in the Visual II network, and 253 in the Cerebellum network (CBL). These hubs’ effective connectivity, which showed reliable but slight changes during different cognitive tasks, exhibited notable alterations when comparing post-stroke cognitive impairment and improvement statuses. Decreased coupling strengths were observed in effective connections to CBL253 and from SC231 and FP70 in the improvement status. Increased connections to SC231 and FP70, from CBL253 and FP242, as well as from FP199 and FP242 to FP242 were observed in this status. These alterations exhibited a high sensitivity to signs of recovery, ranging from 80 to 100%. The effective connectivity pattern in both post-stroke cognitive statuses also reflected the influence of the MoCA score. This research succeeded in identifying a cognitive network with sensitive effective connectivity to cognitive changes after stroke, presenting a potential neuroimaging biomarker for forthcoming interventional studies.

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识别与中风后认知障碍具有有效连接性的认知网络

在脑卒中后认知障碍（PSCI）患者和认知任务期间，复杂功能网络内的连接性发生了改变。本研究旨在确定一个认知功能网络，该网络对认知任务过程中的认知变化具有反应性，同时对卒中后认知障碍也很敏感。为了探索该网络，我们使用功能连接分析法分析了 20 名 PSCI 患者的静息态 fMRI 数据和 100 名无关联健康年轻人的任务态 fMRI 数据。我们进一步采用频谱动态因果建模来研究网络中关键区域之间的有效连接。我们的发现揭示了一个共同的认知网络，其中包括皮层下网络（SC）中的枢纽区域 231，前顶叶网络（FP）中的枢纽区域 70、199 和 242，视觉 II 网络中的枢纽区域 214，以及小脑网络（CBL）中的枢纽区域 253。这些中枢的有效连通性在不同的认知任务中表现出可靠但轻微的变化，在比较卒中后认知障碍和认知改善状态时表现出明显的变化。在改善状态下，与 CBL253 以及 SC231 和 FP70 之间的有效连接耦合强度降低。在这种状态下，与 SC231 和 FP70 的连接、CBL253 和 FP242 的连接以及 FP199 和 FP242 与 FP242 的连接都有所增加。这些变化对恢复迹象的敏感度很高，从 80% 到 100% 不等。卒中后两种认知状态下的有效连接模式也反映了MoCA评分的影响。这项研究成功地发现了一个对中风后认知变化具有敏感有效连接性的认知网络，为即将开展的干预研究提供了一个潜在的神经影像生物标志物。

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来源期刊

Cognitive Neurodynamics 医学-神经科学

CiteScore

6.90

自引率

18.90%

发文量

140

审稿时长

12 months

期刊介绍： Cognitive Neurodynamics provides a unique forum of communication and cooperation for scientists and engineers working in the field of cognitive neurodynamics, intelligent science and applications, bridging the gap between theory and application, without any preference for pure theoretical, experimental or computational models. The emphasis is to publish original models of cognitive neurodynamics, novel computational theories and experimental results. In particular, intelligent science inspired by cognitive neuroscience and neurodynamics is also very welcome. The scope of Cognitive Neurodynamics covers cognitive neuroscience, neural computation based on dynamics, computer science, intelligent science as well as their interdisciplinary applications in the natural and engineering sciences. Papers that are appropriate for non-specialist readers are encouraged. 1. There is no page limit for manuscripts submitted to Cognitive Neurodynamics. Research papers should clearly represent an important advance of especially broad interest to researchers and technologists in neuroscience, biophysics, BCI, neural computer and intelligent robotics. 2. Cognitive Neurodynamics also welcomes brief communications: short papers reporting results that are of genuinely broad interest but that for one reason and another do not make a sufficiently complete story to justify a full article publication. Brief Communications should consist of approximately four manuscript pages. 3. Cognitive Neurodynamics publishes review articles in which a specific field is reviewed through an exhaustive literature survey. There are no restrictions on the number of pages. Review articles are usually invited, but submitted reviews will also be considered.